You're currently viewing an old version of this dataset. To see the current version, click here.

Generative Adversarial Networks

Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects produced by a generator.

Data and Resources

Cite this as

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio (2024). Dataset: Generative Adversarial Networks. https://doi.org/10.57702/yednk8mt

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1901.02514
Citation
  • https://doi.org/10.48550/arXiv.2403.17639
  • https://doi.org/10.48550/arXiv.2005.00925
  • https://doi.org/10.48550/arXiv.1805.06605
  • https://doi.org/10.48550/arXiv.1708.01886
  • https://doi.org/10.48550/arXiv.1810.02528
  • https://doi.org/10.48550/arXiv.1910.13148
Author Ian Goodfellow
More Authors
Jean Pouget-Abadie
Mehdi Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
Homepage https://arxiv.org/abs/1406.2661